Commit Graph
14 Commits
Author SHA1 Message Date
Greg Von Kuster 4015f31eff Refix cleanup_dataset.py script. 2008-12-01 14:07:36 -05:00
Greg Von Kuster 3748e41924 Fixes, code cleanup in cleanup_datasets.py. 2008-11-30 08:03:21 -05:00
Greg Von Kuster ea7074e280 Fix for purging dataset - add check for pre-history_dataset_association approach to sharing. 2008-11-10 15:30:07 -05:00
Greg Von Kuster 5be8fefaf5 Migrate central repo to alchemy 4. 2008-10-30 16:17:46 -04:00
Greg Von Kuster 9a7bc1370d Purge metadata files associated with a dataset when the dataset is purged. Also remembered log.exception logs the exception, so corrected a few things in jobs.__init__. 2008-10-28 14:31:02 -04:00
Greg Von Kuster 3de877519e Migrate cleanup_datasets script to work with new db schema. 2008-07-10 19:54:46 +00:00
Daniel Blankenberg 28b89d686f Change database schema to separate Dataset and HistoryDatasetAssociation. This is a significant change, be sure to follow the migration notes exactly.
Make sure to backup your database before updating.


Also fix a long standing bug in the async controller dealing with updating output datasets upon job completion.


Credit for database migration directions go to Greg.

*** This is a significant change, be sure to follow the migration steps below exactly and in order: ***

---------------

0. Stop Galaxy server

---------------

1. Backup database and galaxy_root/database directory

---------------

2. The current validation_error table is not being used, it is left over from Ian's work that was not made functional.  However, if we want to keep it around, we should drop the old version of the table so it will get re-created correctly when the Galaxy server is restarted:

any database - sql command(s):
------------------------------
DROP TABLE validation_error;

---------------

3. Stop server, perform svn update to get latest code, start server to create new history_dataset_association and implicitly_converted_dataset_association tables

---------------

4. Add new columns to dataset table:

postgres sql command(s):
------------------------
ALTER TABLE dataset ADD COLUMN purgable boolean DEFAULT 't';
ALTER TABLE dataset ADD COLUMN external_filename text;
ALTER TABLE dataset ADD COLUMN _extra_files_path text;

mysql sql command(s):
---------------------
ALTER TABLE dataset ADD COLUMN purgable boolean DEFAULT TRUE;
ALTER TABLE dataset ADD COLUMN external_filename text;
ALTER TABLE dataset ADD COLUMN _extra_files_path text;

sqlite sql command(s):
----------------------
ALTER TABLE dataset ADD COLUMN purgable boolean DEFAULT 0;
ALTER TABLE dataset ADD COLUMN external_filename text;
ALTER TABLE dataset ADD COLUMN _extra_files_path text;

---------------

5. Populate new columns:

postgres sql command(s):
------------------------
UPDATE
dataset
SET
external_filename = dataset_filename.filename,
_extra_files_path = dataset_filename.extra_files_path
FROM
dataset_filename
WHERE
dataset.filename_id = dataset_filename.id;

mysql or sqlite sql command(s):
-------------------------------
UPDATE
dataset,
dataset_filename
SET
dataset.external_filename = dataset_filename.filename,
dataset._extra_files_path = dataset_filename.extra_files_path
WHERE
dataset.filename_id = dataset_filename.id;

---------------

6. Populate dataset table with info from dataset_child_association table:

postgres sql command(s):
------------------------
UPDATE
dataset
SET
parent_id = dataset_child_association.parent_dataset_id
FROM
dataset_child_association
WHERE
dataset.id = dataset_child_association.child_dataset_id;

mysql or sqlite sql command(s):
-------------------------------
UPDATE
dataset,
dataset_child_association
SET
dataset.parent_id = dataset_child_association.parent_dataset_id
WHERE
dataset.id = dataset_child_association.child_dataset_id;

---------------

7. Drop dataset_child_association table:

any database - sql command(s):
------------------------------
DROP TABLE dataset_child_association;

---------------

8. Copy parts of the current dataset table to the new history_dataset_association table:

postgres sql command(s):
------------------------
INSERT INTO history_dataset_association
SELECT
id,
history_id,
id AS dataset_id,
create_time,
update_time,
hid,
name,
info,
blurb,
peek,
extension,
metadata,
parent_id,
designation,
deleted,
visible
FROM dataset
ORDER BY id;

mysql or sqlite sql command(s):
-------------------------------
INSERT INTO
history_dataset_association
(
history_id,
dataset_id,
create_time,
update_time,
hid,
name,
info,
blurb,
peek,
extension,
metadata,
parent_id,
designation,
deleted,
visible
)
SELECT
history_id,
id,
create_time,
update_time,
hid,
name,
info,
blurb,
peek,
extension,
metadata,
parent_id,
designation,
deleted,
visible
FROM
dataset
ORDER BY
id;

---------------

9. Update the nextval value of the primary key sequence in the history_dataset_association table

NOTE: THIS IS NOT NECESSARY FOR MYSQL OR SQLITE!

postgres sql command(s):
------------------------
SELECT
setval('history_dataset_association_id_seq', max(id))
FROM
history_dataset_association;

---------------

10. Update dataset table to mark dataset_associated_file dataset as deleted:

postgres sql command(s):
------------------------
UPDATE dataset
SET
deleted = 't'
WHERE
id IN
(SELECT dataset_id FROM dataset_associated_file ORDER BY dataset_id DESC);

mysql or sqlite sql command(s):
-------------------------------
UPDATE dataset
SET
deleted = TRUE
WHERE
id IN
(SELECT dataset_id FROM dataset_associated_file ORDER BY dataset_id DESC);

---------------

11. Drop the dataset_associated_file table:

any database - sql command(s):
------------------------------
DROP TABLE dataset_associated_file;

---------------

12. Alter foreign keys on job_to_input_dataset table:

postgres or sqlite sql command(s):
------------------------
ALTER TABLE
job_to_input_dataset
DROP CONSTRAINT
job_to_input_dataset_dataset_id_fkey;

ALTER TABLE
job_to_input_dataset
ADD CONSTRAINT job_to_input_dataset_dataset_id_fkey
FOREIGN KEY
(dataset_id)
REFERENCES
history_dataset_association(id);


mysql sql command(s):
-------------------------------
ALTER TABLE
job_to_input_dataset
DROP FOREIGN KEY
ix_job_to_input_dataset_dataset_id;

ALTER TABLE
job_to_input_dataset
ADD FOREIGN KEY
ix_job_to_input_dataset_dataset_id (dataset_id)
REFERENCES
history_dataset_association(id);

---------------

13. Alter foreign keys on job_to_output_dataset table:

postgres or sqlite sql command(s):
------------------------
ALTER TABLE
job_to_output_dataset
DROP CONSTRAINT
job_to_output_dataset_dataset_id_fkey;

ALTER TABLE
job_to_output_dataset
ADD CONSTRAINT
job_to_output_dataset_dataset_id_fkey
FOREIGN KEY (dataset_id)
REFERENCES history_dataset_association(id);

mysql sql command(s):
-------------------------------
ALTER TABLE
job_to_output_dataset
DROP FOREIGN KEY
ix_job_to_output_dataset_dataset_id;

ALTER TABLE
job_to_output_dataset
ADD FOREIGN KEY
ix_job_to_output_dataset_dataset_id
FOREIGN KEY (dataset_id)
REFERENCES history_dataset_association(id);

---------------

14. Eliminate columns from the dataset table previously copied to history_dataset_association:

any database - sql command(s):
------------------------------
ALTER TABLE dataset DROP COLUMN hid;
ALTER TABLE dataset DROP COLUMN history_id;
ALTER TABLE dataset DROP COLUMN name;
ALTER TABLE dataset DROP COLUMN info;
ALTER TABLE dataset DROP COLUMN blurb;
ALTER TABLE dataset DROP COLUMN peek;
ALTER TABLE dataset DROP COLUMN extension;
ALTER TABLE dataset DROP COLUMN dbkey;
ALTER TABLE dataset DROP COLUMN metadata;
ALTER TABLE dataset DROP COLUMN parent_id;
ALTER TABLE dataset DROP COLUMN designation;
ALTER TABLE dataset DROP COLUMN visible;
ALTER TABLE dataset DROP COLUMN filename_id;
2008-07-09 17:41:08 +00:00
Greg Von Kuster aa66fa9a61 Missed a place in cleanup_datasets.py where I wanted to turn off logging. 2008-06-27 13:16:36 +00:00
Greg Von Kuster 55cbdf9905 Tweak to cleanup_datasets script, only log error messages. 2008-06-20 13:45:38 +00:00
Greg Von Kuster 94917f5fe0 Added some important info to cleanup_datasets.py script. 2008-05-15 20:40:19 +00:00
Daniel Blankenberg a7ea9357f2 Add implicit datatype conversions.
If a dataset is not the proper format required by a tool, but there is a converter available, the dataset will appear as a valid option in DataToolParameters.

The converted dataset will be created (and subsequently reused) when the job is executed. Conversion utilizes the job runner, and will run on the cluster.

Setting metadata will invalidate the converted dataset, and a new one will be automatically generated as needed.
2008-05-15 19:09:17 +00:00
Greg Von Kuster 3f01a6dd2a Necessary cron changes for cleanup dataset scripts for main. 2008-04-24 20:31:27 +00:00
Nate Coraor 1d5f59a3c3 Updated dataset cleanup scripts to use eggs lib. 2008-04-18 13:53:15 +00:00
Greg Von Kuster a9db5f0e43 Moved all dataset related shell and python scripts to new ~/<galaxy root>/scripts/cleanup_datasets directory. 2008-04-03 18:33:09 +00:00